Search - kmeans matlab

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[Speech/Voice recognition/combine] ma_by DL : 0: The Matlab functions and scripts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to Periodicity Histogram - ma_fp sone to Fluctuation Pattern - ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering) - ma_cms cluster models to distance (Cluster Model Similarity) - ma_kmeans kmeans clustering (used by \"ma_fc\") - ma_cm_visu visualize a cluster model (as returned by \"ma_fc\") - ma_simple_eval script for a simple evaluation of similarity measures - ma_simple_iom script for a simple islands of music interface -The Matlab functions and scripts in the MA t oolbox are : - ma_sone wav (PCM) to betamethasone ('s specific loudness ensation) - ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients) - ma_sh betamethasone to Sp ectrum Histogram - ma_ph betamethasone to Periodicity Hi stogram - ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering) - ma_cms cl uster models to distance (Cluster Model Simila rity) - ma_kmeans kmeans clustering (used by "m a_fc ") - ma_cm_visu visualize a cluster model ( as returned by "ma_fc") - ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface
Date : 2008-10-13 Size : 24.38kb User : mesu
[Special Effects] KMEANS_clustering DL : 0: 用matlab写的kmeans segmentation算法实现
Date : 2008-10-13 Size : 1.59kb User : Eva
[Graph program] kmeans070622 DL : 0: 使用语言：MATLAB 简介：基于MATLAB的KMEANS 聚类程序
Date : 2008-10-13 Size : 7.07kb User : 史金玉
[matlab] fastkmeans DL : 0: matlab源代码实现快速kmeans聚类
Date : 2010-09-19 Size : 3.9kb User : shiziw369
[AI-NN-PR] kmeans_cluster聚类算法的实现 DL : 0: 数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining
Date : Size : 3kb User : 张乐
[matlab] MyKmeans DL : 0: 实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。缺点：产生类的大小相差不会很大，对于脏数据很敏感。改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or)
Date : Size : 1kb User : 阿兜
[matlab] rbf_Kmeans DL : 0: 一个基于K均值聚类的ＲＢＦ神经网络，注释写的很明白，有不明白的地方可以发邮件问我。-a K-means clustering based on the RBF neural network, notes written very well, did not understand the local mail can ask me.
Date : Size : 2kb User : bruce
[Speech/Voice recognition/combine] vqKmeans DL : 0: Test k-means on 2-D data
Date : Size : 2kb User : 黎思
[Algorithm] kkmeans DL : 0: 自己做的一个kmean聚类程序,里面有例子和聚类程序 -Their clustering kmean to do a procedure, there are examples and clustering procedures
Date : Size : 3kb User : maweilin
[matlab] kmeans070622 DL : 0: 这是一个关于K均值的聚类算法希望对大家有用-This is a study on K-means clustering algorithm to all of us hope that useful
Date : Size : 7kb User : 王林
[Speech/Voice recognition/combine] cskmeans DL : 0: 语音识别的K－means算法，语音识别的K－means算法语音识别的K－means算法-Speech Recognition K-means algorithm, speech recognition of K-means algorithm for speech recognition of the K-means algorithm
Date : Size : 1kb User : 在式朝
[Algorithm] fuzzykmeans DL : 0: 数据挖掘算法很多，其中模糊k均值算法是目前使用比较多的分类方法-Many data mining algorithms, including fuzzy k-means algorithm is currently using a relatively large number of classification methods
Date : Size : 3kb User : 张云
[matlab] mpi_kmeans_ DL : 0: 改进的k均值算法，可以加速运行时间，详见Using the Triangle Inequality to Accelerate k-Means-Improved k-means algorithm, can accelerate the running time, see Using the Triangle Inequality to Accelerate k-Means
Date : Size : 13kb User : xz
[Special Effects] kmeansren DL : 0: k均值聚类的动态分类算法灰度图和彩图的 -k-means clustering algorithm for the dynamic classification of grayscale and color
Date : Size : 3kb User : zhangyan
[Special Effects] kmeansnaohuizhi DL : 0: K_MEANS 实现脑图像分割，聚类数为3，采用整体计算法-Realize K_MEANS brain image segmentation, clustering for 3, using the overall calculation
Date : Size : 33kb User : 任彦华
[Mathimatics-Numerical algorithms] newkmeans DL : 0: k-means算法，请大家参考，这是一个新的k-means源码-k-means algorithm, please refer to, this is a new source of k-means
Date : Size : 81kb User : fanliutong
[DataMining] k-means-for-iris DL : 0: 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results)
Date : Size : 28kb User : 麻衣蚂蚁
[matlab] 图像变化检测三种算法 DL : 0: matlab实现图像变化检测分别用kmeans fcm flicm实现图像的变化检测(image change detetion by kmeans,fcm,flicm)
Date : Size : 1.42mb User : 纱
[matlab] KNN_Kmeans_RBF Algorithm DL : 0: KNN Kmeans RBF Algorithm based on matlab
Date : Size : 506kb User : LIZHAOYANH
[matlab] Matlabkmeans聚类分割GUI，分割聚类数可以输入 DL : 0: 该课题为基于kmeans的聚类分割，输入一张彩色图像，可以选择需要分割成多少类，就会以不同颜色区分不同的块，带有GUI界面，操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished with different colors, with GUI interface and rich operation.)
Date : Size : 71kb User : for Matlab

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